Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

Community driven content discussing all aspects of software development from DevOps to design patterns. Ready to develop your first AWS Lambda function in Python? It really couldn’t be easier. The AWS ...

This repo provides a step-by-step guide and a template for setting up a Python 🐍 development environment with VScode and Docker 🐳. Docker is an amazing tool, but it has some learning curve. This ...

In any Tkinter program, the first thing you need is a window. This window will act as a container for your app. This line brings the Tkinter library into your program. We give it the nickname tk so we ...

We describe OHBA Software Library for the analysis of electrophysiology data (osl-ephys). This toolbox builds on top of the widely used MNE-Python package and provides unique analysis tools for ...

Python is a powerful programming language that is easy to learn and easy to work with, but it is not always the fastest to run—especially when you’re dealing with math or statistics. Third-party ...

Hello Pythonistas welcome back. Today we are starting with a new series CodeCraft: Building Skills One Project at a Time. https://www.calculator.net/create a simple ...

Dr. James McCaffrey of Microsoft Research presents a full-code, step-by-step tutorial on this powerful machine learning technique used to predict a single numeric value. A regression problem is one ...

Google Dictionary extension makes it super easy for anyone to search for and find word definitions with a single click. The way Google extension dictionary works is simple: open a web page, double ...